Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware architectures that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges in cryptography, material science, and artificial intelligence.
Our state-of-the-art facility in San Francisco offers unparalleled resources including cryogenic quantum processors, dedicated supercomputing clusters, and a $500M innovation fund. We provide competitive equity packages, flexible work arrangements, and continuous learning opportunities through our Quantum Academy.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in finance, healthcare, and logistics
- Lead breakthrough research in quantum error correction and fault-tolerant computing systems
- Develop hybrid quantum-classical frameworks for solving NP-hard optimization problems
- Collaborate with hardware teams to co-design quantum processors with 100+ qubit capabilities
- Publish peer-reviewed research in top-tier journals and present at international conferences
- Secure $2M+ in annual research funding through NSF and DARPA proposals
- Mentor PhD candidates and junior researchers through our Quantum Fellowship Program
Qualifications
- PhD in Quantum Physics, Computer Science, or Electrical Engineering with 5+ years industry experience
- Proven track record of publishing in Nature/Science or equivalent high-impact journals
- Expertise in quantum circuit design, quantum machine learning, or topological quantum computing
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#) and classical HPC systems
- Demonstrated ability to translate theoretical concepts into scalable experimental prototypes
- Experience securing government or corporate research grants exceeding $1M
- Strong background in at least one classical high-performance language (C++, Rust, or Python)